CYB236 Chapter 5: Network Anomaly Detection Systems

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What is the primary function of Network Anomaly Detection Systems (NADS)?

To increase network storage capacity

To predict and identify abnormal network behavior (correct)

To decrease network latency

To enhance network speed

What do personal profiles in NADS represent?

Network speed

Abnormal network behavior

Normal network behavior (correct)

Network storage capacity

What technique is used to reduce multidimensional vectors in personal profiles?

Dimensionality reduction (correct)

Fuzzy logic

Machine learning

Genetic algorithms

What is involved in NADS algorithm generation?

Developing methods using genetic algorithms, fuzzy logic, and machine learning Signup and view all the answers

What is the purpose of creating personal profiles in NADS?

To allow for anomaly detection Signup and view all the answers

What is the outcome of analyzing and modeling network activities in NADS?

Creating personal profiles Signup and view all the answers

What are NADS used for?

Maintaining network security Signup and view all the answers

What is a key benefit of using reinforcement learning for anomaly detection?

It provides a dynamic and complex environment for anomaly detection Signup and view all the answers

What is the primary purpose of Z-score in anomaly detection?

To indicate the distance of a data point from the mean Signup and view all the answers

What is the modified Z-score used for in anomaly detection?

To detect outliers in non-Gaussian distributions Signup and view all the answers

What do density-based algorithms determine in anomaly detection?

The deviation of a data point from a specific density threshold Signup and view all the answers

What is the primary goal of correlation-based techniques in NADS?

To identify anomalies by analyzing the correlation between network variables Signup and view all the answers

What is a key difference between parametric and non-parametric techniques in statistical anomaly detection models?

Parametric techniques assume data distribution, while non-parametric techniques do not Signup and view all the answers

What is the purpose of correlation-based feature selection in NADS?

To select the most relevant features Signup and view all the answers

What is the semi-supervised statistical approach used for in anomaly detection?

Creating a probabilistic model of network normal behavior and detecting deviations from this model Signup and view all the answers

What is used to classify network traffic as normal or anomalous in correlation-based classification?

A deep neural network classifier Signup and view all the answers

What is the primary purpose of correlation methods in Network Anomaly Detection Systems?

To identify and predict abnormal behavior in computer networks Signup and view all the answers

What is the name of the method that uses regression relations to identify anomalies?

Data correlation method Signup and view all the answers

What is enhanced by using correlation methods in NADS?

The accuracy of anomaly detection Signup and view all the answers

What is used in NADS to identify and predict abnormal behavior in computer networks?

Logic methodologies Signup and view all the answers

What is the primary benefit of using correlation-based techniques in NADS?

They can identify anomalies that may not be immediately apparent Signup and view all the answers

What is the primary function of Deep Neural Networks in NADS?

Learning complex patterns from rare traffic anomalies Signup and view all the answers

What is the advantage of Long-short term memory (LSTM) networks in NADS?

Outperforming advanced algorithms and feed-forward neural networks Signup and view all the answers

What is the purpose of Unsupervised learning in NADS?

Identifying patterns independently in large unlabeled datasets Signup and view all the answers

What is the role of Neural networks in feature extraction in NADS?

Identifying the most relevant features in a dataset Signup and view all the answers

What type of neural networks are used for anomaly detection in time-series data?

Long-short term memory (LSTM) networks Signup and view all the answers

What is the advantage of using neural networks in NADS?

Aiding in the detection and classification of network attacks Signup and view all the answers

What is the technique used for detecting anomalies in large unlabeled datasets?

Unsupervised learning Signup and view all the answers

What is the role of Deep Neural Networks in anomaly detection?

Learning complex patterns from rare traffic anomalies Signup and view all the answers

What is the advantage of using LSTM networks over other neural networks?

Outperforming advanced algorithms and feed-forward neural networks Signup and view all the answers

What is the role of neural networks in NADS?

Anomaly detection and feature extraction Signup and view all the answers

What type of neural networks are used in anomaly detection?

Semi-supervised Signup and view all the answers

What is the goal of the agent in reinforcement learning?

To learn a policy that achieves the highest possible reward Signup and view all the answers

What is the application of reinforcement learning models in anomaly detection?

In various fields, including algorithmic trading and asset integrity management Signup and view all the answers

What is the type of machine learning training method used in anomaly detection?

Reinforcement learning Signup and view all the answers

What is the purpose of semi-supervised neural networks in anomaly detection?

To identify anomalies in limited labeled data Signup and view all the answers

What is the overarching goal of the agent in reinforcement learning?

To maximize the reward Signup and view all the answers